Dr. Crandall’s main research interest is computer vision, the area of computer science that tries to design algorithms that can “see”. He is particularly interested in visual object recognition and scene understanding. He is also interested in other problems that involve analyzing and modeling large amounts of uncertain data, like mining data from the web and from online social networking sites.

Research Areas:

  • Artificial Intelligence
  • Machine Learning
  • Data Science
  • Teaching and Learning
  • HCI@Luddy - Crosscutting
  • Animal Informatics
  • Artificial Intelligence and Machine Learning
  • Computer Vision, Speech, and Music Processing
  • Animal Computer Interaction
  • Intelligent Interactive Systems

The IU Computer Vision Lab investigates and develops advanced statistical and machine learning techniques for automatically analyzing, understanding, and organizing visual information.

His main research interests are in computer vision, applied machine learning, probabilistic graphical models, and data mining.

Keywords: Computer vision, machine learning, data mining, social networks

Cognitive Science
PhD, Cornell University, Computer Science, 2008
MS, Cornell University, Computer Science, 2007
MS, Pennsylvania State University, Computer Science and Engineering, 2001
BS, Pennsylvania State University, Computer Engineering, 2001